This year I tried solving AoC using Rust, here are my impressions coming from Python!

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  1. dfdx

    Deep learning in Rust, with shape checked tensors and neural networks

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. tch-rs

    Rust bindings for the C++ api of PyTorch.

  4. are-we-learning-yet

    How ready is Rust for Machine Learning?

    Also http://arewelearningyet.com

  5. advent-of-code-jq

    Solving Advent of Code with jq

    Advent of Code (AoC) vs. Alexandria Ocasio-Cortez (AOC - note the capital O). Also, this a sub about a software language so that feels like a pretty big context clue.

  6. burn

    Discontinued Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)

  7. neuronika

    Tensors and dynamic neural networks in pure Rust.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Related posts

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    6 projects | /r/rust | 2 Jan 2023
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  • Burn v0.17: Deep Learning in Rust gets new back ends and improved kernel fusion

    1 project | news.ycombinator.com | 23 Apr 2025
  • Burn: The Future of Deep Learning in Rust

    1 project | dev.to | 26 Dec 2024
  • Burn: Deep Learning Framework built using Rust

    1 project | news.ycombinator.com | 24 Apr 2024

Did you know that Rust is
the 5th most popular programming language
based on number of references?